Automated Video Processing and Markdown Conversion

• Day: 2025-08-04
• Time: 20:10 to 20:55
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Automation, Markdown, Video Processing, Bash

Description

Session Goal

The session aimed to develop and refine scripts and workflows for automating video processing, transcription, and Markdown conversion.

Key Activities

• Developed a Python script to convert JSONL files containing speech data into Markdown with Quartz-compatible frontmatter and YouTube embeds.
• Outlined an automated workflow for video ingestion, processing transcriptions, and publishing content, integrating job scheduling and CI/CD strategies.
• Created a shell script (run_daily.sh) to automate a daily pipeline for processing data, including backfilling videos and generating Markdown files.
• Implemented a Bash script to manage PromptFlow outputs with custom naming and directory management.
• Adjusted the backfill pipeline script to use the ‘—date’ flag, ensuring proper argument handling.
• Proposed solutions for the backfill.py script to handle duplicate date issues in file naming.

Achievements

• Successfully created and refined scripts for automating video processing and Markdown conversion.
• Established a comprehensive workflow for video ingestion and content publishing.

Pending Tasks

• Further testing of the automated workflows and scripts to ensure robustness and error handling.
• Implement the proposed solutions to prevent duplicate date issues in backfill.py.

Evidence

• source_file=2025-08-04.sessions.jsonl, line_number=2, event_count=0, session_id=13c41d87b31ca15ff40f3fa06befa558268c14fae1c964ecd060cf681d02b6b6
• event_ids: []